免疫分析
材料科学
信号(编程语言)
纳米技术
流量(数学)
复合数
计算机科学
纳米颗粒
生物医学工程
医学
机械
物理
复合材料
抗体
免疫学
程序设计语言
作者
Xuechi Yin,Sijie Liu,Deepak Kukkar,Wang Jianlong,Daohong Zhang,Ki–Hyun Kim
标识
DOI:10.1016/j.trac.2023.117441
摘要
The lateral flow immunoassay (LFIA) strip has been one of the classic but dominant tools in the point of care (POC) detection with multiple advantages (e.g., portability and simplicity). As the signal labels in LFIA, colored nanomaterials (CNMs) such as colloidal gold nanoparticles (AuNPs) have been used broadly despite limited sensing potential (e.g., in terms of low-signal intensity and poor sensitivity). In this respect, the practical utility of the composite nanoparticles (CPNPs: e.g., Fe3O4@AuNPs, SiO2@Quantum dots, and Au@Pt) has been recognized as their alternatives in terms of sensitivity enhancement, signal readout diversity, anti-matrix interference, and cost-effectiveness. The incorporation of CPNPs with LFIA is expected to help expand their applications in diverse fields. The superiority of CPNPs over the existing conventional NMs is also discussed along with the present challenges and future directions in this research field.
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